The core purpose of this study is to explore the relationship between anxiety and academic achievement in high school students. A cross-sectional and correlational study design was used in this study, and 156 students were randomly selected as a representative probability sample. Data collection relied on the Explicit Anxiety Scale for Children Revised (CMAS-R) and a sociodemographic questionnaire, and students' academic performance was assessed based on their average score. The sample was evenly composed of male and female students, all from Wuhan City, Hubei Province, China. The results showed that 28.8 percent of the students showed symptoms of anxiety. Further analyzing the academic perf... More >

Against the background of digital transformation, industrial upgrading, and increasingly uncertain labor-market conditions, university students are expected to make career decisions that require both technological competence and market adaptability. This study examines university students' employment choices and employment psychology by combining bibliometric analysis, questionnaires, and semi-structured interviews from 31 universities. CiteSpace was used to identify research trends related to university employment, while interview materials from 150 students were analyzed with NVivo to identify recurring psychological patterns in career decision-making. The findings show that students attac... More >

The rapid development of artificial intelligence has profoundly impacted the field of education, influencing teaching models, learning methods, and assessment techniques. This study analyzes the current state of AI in education using the CiteSpace visualization tool, revealing key challenges such as the lack of assurance in information authenticity, the exacerbation of educational inequality, and the potential decline in essential skills. Based on these findings, the paper explores future directions for AI development in education. More >

Economic cooperation has been a crucial driving force for promoting China-Central Asia relations. And trade cooperation constitutes a principal component of this driving force. This study presents and assesses the trade relations between China and the five Central Asian countries from 2013 to 2023, aiming to comprehensively depict the evolution of trade ties between the two sides. This study also analyzes the challenges, including trade imbalance, weak trade facilitation and geopolitical risks, may bring to trade cooperation. At the same time, prospects for China-Central Asia trade cooperation, such as enhanced political relations, improved infrastructure connectivity and the potential of e-... More >

This study examines the trends in teacher policy research in South Korea since the May 31st Education Reform of 1995. The focus is on five essential and reliable KCI academic journal papers. The research spans the past 30 years and addresses three aspects: purpose, theme, and method. The results indicate that theoretical and applied research on teacher policies is unevenly distributed, with applied research predominating. Applied research primarily analyzes the current state of teacher policy implementation and suggests improvements. The research themes mainly address government-issued teacher policies, focusing significantly on in-service teacher policies over interns ’policie... More >

In the stage of compulsory education, there are still many researches on the relationship between math anxiety and students' math achievement. If we cannot understand the internal mechanism between students' emotions and learning performance, we cannot establish a microfoundation for monitoring the quality of compulsory education. In order to further identify the logical relationship between math anxiety and students' math achievement, we systematically collected 31 relevant literature from 2014 to 2024, including a total of 106,636 student samples, and conducted a meta-analysis based on the random effects model. The results show that the correlation coefficient between math anxiety and stud... More >

This study aims to explore the enhancement of corporate innovation and performance by analyzing the internal and external corporate environments and their synergistic effects. It emphasizes the importance of human capital, with a spotlight on leaders as the primary shapers of the internal corporate environment. Drawing from existing literature, a theoretical framework is established to investigate the effects of transformational leadership on organizational innovation outcomes. Through the creation of scales and questionnaires, a survey was conducted at Beijing T Company, and the data was empirically analyzed using regression techniques. The findings indicate that transformational leadership... More >

This research investigates the impact of retrofit interventions on the energy performance of domestic buildings in Ireland using predictive machine learning (ML) models. The study applies machine learning models to classify the Building Energy Rating (BER) of dwellings in County Dublin, Ireland. With a focus on feature selection in a highly correlated dataset, the study predicts energy ratings with an accuracy of 69%. The Light Gradient Boosting Machine classifier is observed to achieve the best performance among more than twenty ML models applied for prediction. The study also performs retrofit experiments on dwelling features and evaluates their effectiveness in improving energy performanc... More >